Using Knowledge Elicitation Techniques To Infuse Deep Expertise And Best Practices Into Generative AI

How can we get AI and LLMs to be domain experts? The prior era of AI devised knowledge elicitation techniques. Those are ...
Que.com on MSN

Enhancing Deep Neural Networks with Architectural Optimization Techniques

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Deep learning, knowledge agents: How D-FW companies are upping their game with AI

From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...
Semiconductor Engineering

Algorithm–HW Co-Design Framework for Accelerating Attention in Large-Context Scenarios (Cornell)

Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...
IEEE

Deepfake Image and Video Detection Using Deep Learning Algorithms

Abstract: Deep learning (DL) algorithms are swiftly finding applications in computer vision and natural language processing. Nonetheless, they can also be employed for creating convincing deepfakes, ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
IEEE

Deep Learning Algorithms for Predictive Maintenance in Data Centers

Abstract: Due to the quick development of cloud services and enterprise information., the dependability and opening of information area foundation has turned out to be mission critical. Deep learning ...
C&EN

Deep Learning-Assisted Lens-Free Holography Integrated Pd Nanozyme-Armed Phages for the Rapid and Extraction-Free Detection of Viable Bacteria

College of Informatics, Huazhong Agricultural University, Wuhan, Hubei 430070, China ...